Orchestrating parallel subagents for data collection, exploration, and reporting
A hands-on case study of using Codex subagents to coordinate data collection, preparation, and Slidev report generation in parallel.
Shaping with AI
Categories
10 pages
Technical notes
Data engineering, system design, architecture
Creating agent-backed skills in Codex: a uv-first Python repo health check
I wanted Python repository health checks without flooding the main Codex thread with raw `uv`, `ruff`, `pytest`, and `ty` output. So I built a subagent-backed skill that inspects the repo, runs the usual commands, and returns a compact report with clear pass, warn, and fail signals.
Shaping with AI
In agent systems, context matters more than the prompt
A practical guide to what the planner actually sees, why context is more than the prompt, and why better context selection matters more than simply adding more tokens.
Shaping with AI
Creating a Cursor rule to keep Python workflows on uv
I already had reusable `uv`-first instructions for Claude Code and Codex. I have now added the Cursor path too: generate a rule from the same source guidance so Cursor stays on the same Python workflow.
Shaping with AI
Agents in plain English for developers
A practical guide to what agents are, what they are not, and how to reason about them in terms of context, tools, host loops, and runtime constraints instead of hype.
Shaping with AI